limma package
E1274384
UNEXPLORED
The limma package is a widely used Bioconductor R toolkit for analyzing gene expression data, particularly for differential expression in microarray and RNA-seq experiments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| limma package canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T17521718 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: limma package Context triple: [Bioconductor, hasComponent, limma package]
-
A.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
lme4
lme4 is a widely used R package for fitting linear and generalized linear mixed-effects models using efficient numerical optimization methods.
-
C.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
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D.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
E.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: limma package Target entity description: The limma package is a widely used Bioconductor R toolkit for analyzing gene expression data, particularly for differential expression in microarray and RNA-seq experiments.
-
A.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
-
B.
lme4
lme4 is a widely used R package for fitting linear and generalized linear mixed-effects models using efficient numerical optimization methods.
-
C.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
D.
GEO DataSets
GEO DataSets is a public NCBI repository that organizes and provides access to curated gene expression and other functional genomics experiment data.
-
E.
OncoAnalytics
OncoAnalytics is a data and analytics platform by Flatiron Health that provides real-world oncology insights to support cancer research and clinical decision-making.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.